{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "## Data\n",
        "\n"
      ],
      "metadata": {
        "id": "7qzgaOMXcp-G"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "wc_od2xSM5ni"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O3ZcEKr5DmlF",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5fc65e79-ee37-4322-a56c-32c98117f19c"
      },
      "source": [
        "#I use Google Colab, for ease of coding across devices.\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "#Otherwise to open from your computer directory use the below code and input the folder path:\n",
        "#os.chdir(file_path)"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#read-in Qualtrics data from Kenya and Malawi surveys (fill in file path)\n",
        "df_k = pd.read_csv(\"/filepath/AP21_Kenya.csv\")\n",
        "df_m = pd.read_csv(\"/filepath/AP21_Malawi\")"
      ],
      "metadata": {
        "id": "PvyIDvBxoAWh"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#create id column\n",
        "df_k.insert(0, 'id', df_k.index)\n",
        "df_m.insert(0, 'id', df_m.index)"
      ],
      "metadata": {
        "id": "q3lXGekq8Su4"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#rename columns\n",
        "df_k.columns = ['id', 'age', 'educ', 'gender', 'ethnicty', 'reg_vote', 'vot_2017',\n",
        "       'close_to_pty', 'party', 'trust_EMB', 'chf_j_kq', 'monitor_kq',\n",
        "       ' rec_mishaps', 'direct_voters', 'counts_recs_vot', 'protect_int_party',\n",
        "       'r1_fchoice', 'r1_like_A', 'r1A_tally_chg', 'r1A_unprt_int',\n",
        "       'r1A_p_excess', 'r1A_po_prs', 'r1_like_B', 'r1B_tally_chg',\n",
        "       'r1B_unprt_int', 'r1B_p_excess', 'r1B_po_prs', 'r2_fchoice',\n",
        "       'r2_like_A', 'r2A_tally_chg', 'r2A_unprt_int', 'r2A_p_excess',\n",
        "       'r2A_po_prs', 'r2_like_B', 'r2B_tally_chg', 'r2B_unprt_int',\n",
        "       'r2B_p_excess', 'r2B_po_prs', 'r3_fchoice', 'r3_like_A',\n",
        "       'r3A_tally_chg', 'r3A_unprt_int', 'r3A_p_excess', 'r3A_po_prs',\n",
        "       'r3_like_B', 'r3B_tally_chg', 'r3B_unprt_int', 'r3B_p_excess',\n",
        "       'r3B_po_prs', 'duration ', 'i1', 'i2', 'i3', 'i4', 'i5', 'i6']\n",
        "\n",
        "df_m.columns = ['id', 'age', 'educ', 'gender', 'ethnicty', 'reg_vote', 'vot_2017',\n",
        "       'close_to_pty', 'party', 'trust_EMB', 'chf_j_kq', 'monitor_kq',\n",
        "       ' rec_mishaps', 'direct_voters', 'counts_recs_vot', 'protect_int_party',\n",
        "       'r1_fchoice', 'r1_like_A', 'r1A_tally_chg', 'r1A_unprt_int',\n",
        "       'r1A_p_excess', 'r1A_po_prs', 'r1_like_B', 'r1B_tally_chg',\n",
        "       'r1B_unprt_int', 'r1B_p_excess', 'r1B_po_prs', 'r2_fchoice',\n",
        "       'r2_like_A', 'r2A_tally_chg', 'r2A_unprt_int', 'r2A_p_excess',\n",
        "       'r2A_po_prs', 'r2_like_B', 'r2B_tally_chg', 'r2B_unprt_int',\n",
        "       'r2B_p_excess', 'r2B_po_prs', 'r3_fchoice', 'r3_like_A',\n",
        "       'r3A_tally_chg', 'r3A_unprt_int', 'r3A_p_excess', 'r3A_po_prs',\n",
        "       'r3_like_B', 'r3B_tally_chg', 'r3B_unprt_int', 'r3B_p_excess',\n",
        "       'r3B_po_prs', 'duration ', 'i1', 'i2', 'i3', 'i4', 'i5', 'i6']"
      ],
      "metadata": {
        "id": "G89TtvZz8ad-"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "###AfroBarometer Sources:\n",
        "\n",
        "\n",
        "\n",
        "*   Malawi: https://www.afrobarometer.org/wp-content/uploads/2022/08/MLW_R9_Summary-of-results_Afrobarometer-29Aug22-.pdf\n",
        "*   Kenya: https://www.afrobarometer.org/wp-content/uploads/2022/02/afrobarometer_sor_ken_r8_en_2019.pdf\n",
        "\n"
      ],
      "metadata": {
        "id": "hF5VRsEjIZu2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Kenya Comparisons\n",
        "\n",
        "\n",
        "---\n",
        "\n"
      ],
      "metadata": {
        "id": "Dpl17Ejwo56E"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Kenya Age Plots"
      ],
      "metadata": {
        "id": "17Jcwgp2osqd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_k['age_dist']= pd.cut(df_k['age'], bins=[17, 25, 35, 45, 55, 65], labels=['18-25', '26-35', '36-45', '46-55', '56-65'])\n",
        "df_k.age_dist.value_counts()/len(df_k)*100"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a1cd6f1f-ba30-45a8-da97-4bbdccbbeab6",
        "id": "9DQ0ef3oosqf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "age_dist\n",
              "26-35    24.4\n",
              "36-45    23.2\n",
              "46-55    22.0\n",
              "18-25    19.6\n",
              "56-65    10.8\n",
              "Name: count, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#making plotting dictionary from my data summary (had no observations over 65)\n",
        "ky_age1 =  {'18-25': 19.6, '26-35': 24.4, '36-45': 23.2,'46-55': 22,'56-65': 10.8}\n",
        "\n",
        "#making plotting dictionary from AfroBaromter stats (excluing those over 65)\n",
        "ky_age2 =  {'18-25': 27.8, '26-35': 28.7, '36-45': 20.4,'46-55': 11.1,'56-65': 7.4}"
      ],
      "metadata": {
        "id": "U-iWTwT7osqg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = list(ky_age1.keys())\n",
        "X_axis = np.arange(len(ky_age1.keys()))\n",
        "plt.bar(X_axis - 0.2, ky_age1.values(), 0.4, label = 'Qualtics')\n",
        "plt.bar(X_axis + 0.2, ky_age2.values(), 0.4, label = 'AfroBarometer')\n",
        "\n",
        "plt.xticks(X_axis, X)\n",
        "plt.xlabel(\"Age groups\")\n",
        "plt.ylabel(\"Sample Percentage\")\n",
        "plt.title(\"Kenya Age Comparison\")\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 823
        },
        "outputId": "ba8c8932-f2ae-4243-b645-698eb7c01902",
        "id": "esWOrha4osqg"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x79aa83b7ce80>"
            ]
          },
          "metadata": {},
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Kenya Education Comparison"
      ],
      "metadata": {
        "id": "Px1QHYwPxlRv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_k['educ'].value_counts()/len(df_k)*100"
      ],
      "metadata": {
        "id": "yTeqtRj7Oc43",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b155c166-ea9b-4828-f513-fab5ce2d4851"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "educ\n",
              "University completed                               49.2\n",
              "Post-secondary training but not at a university    23.2\n",
              "Some university                                    19.6\n",
              "Secondary school completed                          6.4\n",
              "Some secondary school                               1.6\n",
              "Name: count, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#re-writing the age distribution from my data as a dictionary for each plotting\n",
        "ky_ed1 = {\n",
        "  'No formal schooling': 0,\n",
        "  'Some primary schooling':0,\n",
        "  'Primary school completed':0,\n",
        "  'Some secondary school': 1.6,\n",
        "  'Secondary school completed': 6.4,\n",
        "  'Post-secondary training (not university)': 23.2,\n",
        "  'Some university': 19.6,\n",
        "  'University completed': 49.2,\n",
        "  'Post-graduate': 0}"
      ],
      "metadata": {
        "id": "YZRKhFDPACEk"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#creating the comparison dictionary from AfroBarometer\n",
        "ky_ed2 = {\n",
        "  'No formal schooling': 3.7,\n",
        "  'Some primary schooling': 13.9,\n",
        "  'Primary school completed': 22.1,\n",
        "  'Some secondary school': 11.7,\n",
        "  'Secondary school completed': 23.2,\n",
        "  'Post-secondary training (not university)': 14.8,\n",
        "  'Some university': 3,\n",
        "  'University completed': 5.4,\n",
        "  'Post-graduate': 1.3}"
      ],
      "metadata": {
        "id": "vbRnEY1aC8hV"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Plot**"
      ],
      "metadata": {
        "id": "asxzlGCQFzwL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.rcParams[\"figure.figsize\"] = [8, 8]\n",
        "plt.rcParams[\"figure.autolayout\"] = True\n",
        "\n",
        "X = list(ky_ed1.keys())\n",
        "X_axis = np.arange(len(ky_ed1.keys()))\n",
        "plt.bar(X_axis - 0.2, ky_ed1.values(), 0.4, label = 'Qualtics')\n",
        "plt.bar(X_axis + 0.2, ky_ed2.values(), 0.4, label = 'AfroBarometer')\n",
        "\n",
        "plt.xticks(X_axis, X)\n",
        "plt.xlabel(\"Education Levels\")\n",
        "plt.ylabel(\"Sample Percentage\")\n",
        "plt.title(\" Kenya Education Comparison\")\n",
        "plt.xticks(rotation= 'vertical')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 806
        },
        "id": "67j-vKJOF1NI",
        "outputId": "cc4f8f81-bbcd-466c-bdf9-034eb508d5fe"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Kenya Party Comparison"
      ],
      "metadata": {
        "id": "R1ZaX6IPxpHZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_k['party'].value_counts()/len(df_k)*100. #summary from my own data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CGMqTOWkZAib",
        "outputId": "e39a209d-f39c-4cfe-defa-9bf6619fa95f"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "party\n",
              "Orange Democratic Movement (ODM)    31.2\n",
              "Jubilee Alliance Party              22.8\n",
              "Other                               18.8\n",
              "Prefer not to say                   10.8\n",
              "Don't Know                           8.4\n",
              "Amani National Congress              2.8\n",
              "Wiper Democratic Movement            1.6\n",
              "Maendeleo Chap Chap                  1.2\n",
              "KANU                                 0.8\n",
              "Ford Kenya                           0.8\n",
              "Thirdway Alliance                    0.4\n",
              "NARC - Kenya                         0.4\n",
              "Name: count, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#plotting dictionary using summary from my data\n",
        "ky_party1 = {\n",
        " 'ODM': 31.2,\n",
        " 'Jubilee': 22.8,\n",
        " 'Other': 18.8,\n",
        " 'Amani National Congress': 2.8,\n",
        " 'Wiper Democratic Movement': 1.6,\n",
        " 'Maendeleo Chap Chap': 1.2,\n",
        " 'KANU': 0.8,\n",
        " 'Ford Kenya': 0.8,\n",
        " 'Thirdway Alliance': 0.4,\n",
        " 'NARC - Kenya': 0.4,\n",
        " 'Not Applicable': 19.2}"
      ],
      "metadata": {
        "id": "fEGmpoH8bFtA"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#plotting dictionary using values from AfroBarometer\n",
        "ky_party2 = {\n",
        " 'ODM': 17.1,\n",
        " 'Jubilee': 25.5,\n",
        " 'Other': 0.9,\n",
        " 'Amani National Congress': 0.7,\n",
        " 'Wiper Democratic Movement': 1.6,\n",
        " 'Maendeleo Chap Chap': 0.2,\n",
        " 'KANU': 0.4,\n",
        " 'Ford Kenya': 0.7,\n",
        " 'Thirdway Alliance': 0.1,\n",
        " 'NARC - Kenya': 0.3,\n",
        " 'Not Applicable': 51.3}"
      ],
      "metadata": {
        "id": "qLyxRvJblBQK"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = list(ky_party1.keys())\n",
        "X_axis = np.arange(len(ky_party1.keys()))\n",
        "plt.bar(X_axis - 0.2, ky_party1.values(), 0.4, label = 'Qualtics')\n",
        "plt.bar(X_axis + 0.2, ky_party2.values(), 0.4, label = 'AfroBarometer')\n",
        "\n",
        "plt.xticks(X_axis, X)\n",
        "plt.xlabel(\"Party Affiliation\")\n",
        "plt.ylabel(\"Sample Percentages\")\n",
        "plt.title(\"Kenya Party Comparison\")\n",
        "plt.xticks(rotation= 'vertical')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 824
        },
        "id": "BcqK26bOm6WI",
        "outputId": "4617ac06-6103-49b5-f720-d46326bb579b"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x79aa83bd34c0>"
            ]
          },
          "metadata": {},
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Malawi Comparisons\n",
        "\n",
        "\n",
        "---\n",
        "\n"
      ],
      "metadata": {
        "id": "CkIqvz6rpBlv"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Malawi Age Comparison"
      ],
      "metadata": {
        "id": "rl1de1Kl7exx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_m['age_dist']= pd.cut(df_m['age'], bins=[17, 25, 35, 45, 55, 65], labels=['18-25', '26-35', '36-45', '46-55', '56-65'])\n",
        "df_m.age_dist.value_counts()/len(df_m)*100"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eCYnHC8ppFAd",
        "outputId": "05e4624f-35d5-4df6-ceab-5da14385450a"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "age_dist\n",
              "26-35    36.428571\n",
              "18-25    34.285714\n",
              "36-45    19.285714\n",
              "46-55     5.714286\n",
              "56-65     4.285714\n",
              "Name: count, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#making plotting dictionary from my data summary\n",
        "mw_age1 =  {'18-25': 34.3, '26-35': 36.4, '36-45': 19.3,'46-55': 5.7,'56-65': 4.3}\n",
        "#making plotting dictionary from AfroBaromter stats\n",
        "mw_age2 =  {'18-25': 33.6, '26-35': 23.4,'36-45': 19.7,'46-55': 11.4,'56-65': 6}"
      ],
      "metadata": {
        "id": "8YMq9lbm4NYr"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = list(mw_age1.keys())\n",
        "X_axis = np.arange(len(mw_age1.keys()))\n",
        "plt.bar(X_axis - 0.2, mw_age1.values(), 0.4, label = 'Qualtics')\n",
        "plt.bar(X_axis + 0.2, mw_age2.values(), 0.4, label = 'AfroBarometer')\n",
        "\n",
        "plt.xticks(X_axis, X)\n",
        "plt.xlabel(\"Age groups\")\n",
        "plt.ylabel(\"Sample Percentage\")\n",
        "plt.title(\"Malawi Age Comparison\")\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 823
        },
        "outputId": "37565875-6ca5-47c0-e75d-f7250c2ed74d",
        "id": "A6Meaxlq4NYu"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x79aa84d21b10>"
            ]
          },
          "metadata": {},
          "execution_count": 28
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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7SUxMVOvWrdW0aVNt2rRJX331lZ577jlVrVpVktSkSRO5urqqVatWeuWVV5SSkqIvvvhC/v7+OnHixD0ft1KlSqpfv76qV68uPz8/bd26VXPmzFH37t2tfT766CM1a9ZMERER6tKliy5fvqz//ve/8vHx0aBBg8yeOgDcnSMfPQUAjnTzI2XvJKtHysbFxRnlypUz3NzcjLCwMGPy5MlZPs41q0fKvv7660ZgYKDh4eFh1K5d29i0aZNRr149o169epmOXaNGDUOS8eOPP1rb/vjjD0OSERwcnKn/3R4pm5aWZhQpUsSIjIy84zmXKlXKePjhh63LO3bsMCIjIw03NzejRIkSxvDhw41Ro0YZkoyTJ0/abLt69WojOjra8PHxMdzd3Y0yZcoYnTp1MrZu3XrHY95w/Phxo3fv3kb58uUNd3d3o2DBgkb16tWNYcOGGUlJSTZ9R48ebYSFhRkFChQwihcvbnTr1s04f/68TZ969eoZlStXznScrH6uhmEYkoyYmBjr8o33dO/evcbTTz9teHl5GYULFza6d+9uXL582Wbbb7/91ggPDzfc3d2N0NBQ44MPPjAmTZpk8+jdOx37xrqbx8zQoUONmjVrGr6+voaHh4cRFhZmDBs2zEhLS7PZbsWKFUbt2rUNDw8Pw9vb22jVqpWxd+9emz43zuXMmTM27Tf+W7i5RgCwh8UwmJUFALBfr169NGHCBKWkpNx24u/fwY0vnztz5kymeS8AgOuYUwEAuKvLly/bLJ89e1Zffvml6tSp87cOFACA7GFOBQDgriIiIlS/fn1VrFhRp06dUlxcnJKTkzVgwABHlwYAyAMIFQCAu2revLnmzJmjzz//XBaLRY888oji4uJUt25dR5cGAMgDmFMBAAAAwBTmVAAAAAAw5W9/+1NGRoaOHz8uLy8v67PUAQAAANydYRi6ePGigoKC5OR0++sRf/tQcfz4cQUHBzu6DAAAACDfOnr0qEqUKHHb9X/7UOHl5SXp+hvh7e3t4GoAAACA/CM5OVnBwcHWz9S387cPFTduefL29iZUAAAAAPfgbtMImKgNAAAAwBRCBQAAAABTCBUAAAAATPnbz6kAAAD4O0lPT9fVq1cdXQb+JgoUKCBnZ2fT+yFUAAAA5AOGYejkyZO6cOGCo0vB34yvr68CAgJMfacboQIAACAfuBEo/P39VbBgQb7UF6YZhqG//vpLp0+fliQFBgbe874IFQAAAHlcenq6NVAUKVLE0eXgb8TDw0OSdPr0afn7+9/zrVBM1AYAAMjjbsyhKFiwoIMrwd/RjXFlZq4OoQIAACCf4JYn5IacGFeECgAAAACmECoAAAAAmMJEbQAAgHwstN939+1Yh99vcd+OdS8GDRqkBQsWaOfOnbftc/jwYZUqVUo7duxQtWrV7lttf3dcqQAAAECuOnr0qF588UUFBQXJ1dVVISEh6tmzp86ePZurx+3UqZPatGlj0xYcHKwTJ06oSpUquXrsBw2hAgAAALnmt99+06OPPqoDBw5o5syZOnjwoMaPH6+VK1cqIiJC586du6/1ODs7KyAgQC4u3LCTkwgVAAAAyDUxMTFydXXVsmXLVK9ePZUsWVLNmjXTihUrdOzYMfXv31/S9ScQLViwwGZbX19fTZkyxbrct29flS9fXgULFlTp0qU1YMCA2z4GddCgQZo6daoWLlwoi8Uii8WiNWvW6PDhw7JYLDa3SP3yyy9q2bKlvL295eXlpcjISB06dEiStGbNGtWsWVOFChWSr6+vateurd9//z1H36O/AyIaAAAAcsW5c+e0dOlSDRs2zPolazcEBASoQ4cOmj17tsaOHZut/Xl5eWnKlCkKCgrSnj171LVrV3l5eemtt97K1PeNN97Qvn37lJycrMmTJ0uS/Pz8dPz4cZt+x44dU926dVW/fn2tWrVK3t7e2rBhg65du6Zr166pTZs26tq1q2bOnKm0tDT99NNPPNo3C4QKAAAA5IoDBw7IMAxVrFgxy/UVK1bU+fPndebMmWzt7+2337b+OzQ0VG+88YZmzZqVZajw9PSUh4eHUlNTFRAQcNt9jhkzRj4+Ppo1a5YKFCggSSpfvryk66EoKSlJLVu2VJkyZaw1IzNCBQAAAHKVYRh3XO/q6pqt/cyePVujRo3SoUOHlJKSomvXrsnb29tUbTt37lRkZKQ1UNzMz89PnTp1UnR0tBo3bqyoqCi1a9dOgYGBpo75d8ScCgAAAOSKsmXLymKxaN++fVmu37dvn4oVKyZfX19ZLJZM4ePm+RKbNm1Shw4d1Lx5cy1evFg7duxQ//79lZaWZqrGW2/LutXkyZO1adMmPf7445o9e7bKly+vzZs3mzrm3xGhAgAAALmiSJEiaty4scaOHavLly/brDt58qSmT5+uTp06SZKKFSumEydOWNcfOHBAf/31l3V548aNCgkJUf/+/fXoo4+qXLlyd50w7erqqvT09Dv2CQ8P17p162474VuSHn74YcXGxmrjxo2qUqWKZsyYccd9PogIFQAAAMg1o0ePVmpqqqKjo7V27VodPXpUS5YsUePGjVW+fHm98847kqSGDRtq9OjR2rFjh7Zu3apXX33V5pakcuXK6ciRI5o1a5YOHTqkUaNGaf78+Xc8dmhoqHbv3q2EhAT9+eefWQaH7t27Kzk5Wc8884y2bt2qAwcO6Msvv1RCQoISExMVGxurTZs26ffff9eyZct04MAB5lVkgTkVAAAA+Vhe/5brcuXKacuWLRo0aJDatWun06dPyzAMPfXUU/ryyy9VsGBBSdKIESPUuXNnRUZGKigoSCNHjtS2bdus+2ndurV69+6t7t27KzU1VS1atNCAAQM0aNCg2x67a9euWrNmjR599FGlpKRo9erVCg0NtelTpEgRrVq1Sm+++abq1asnZ2dnVatWTbVr11bBggW1f/9+TZ06VWfPnlVgYKBiYmL0yiuv5MZbla9ZjLvNnMnnkpOT5ePjo6SkJNMTeQAAABzhypUrSkxMVKlSpeTu7u7ockwbOHCgPvnkEy1fvlyPPfaYo8t54N1pfGX3szRXKgAAAHBfDR48WKGhodq8ebNq1qwpJyfuyM/vCBUAAAC47zp37uzoEpCDiIUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVHygJ5RGi/7xxdQq7J69/2CgAAzCFUAAAA5GeDfO7jsZJyfJeGYeiVV17RnDlzdP78ee3YsUPVqlXL8eMgd3H7EwAAAHLdpk2b5OzsrBYtbK9eL1myRFOmTNHixYt14sQJValS5Z6P0alTJ1ksFuurSJEiatq0qXbv3m22fIcaNGhQng9ahAoAAADkuri4OPXo0UNr167V8ePHre2HDh1SYGCgHn/8cQUEBMjFJfONNGlpadk+TtOmTXXixAmdOHFCK1eulIuLi1q2bGmqdnuOn5fl5nkQKgAAAJCrUlJSNHv2bHXr1k0tWrTQlClTJF2/stCjRw8dOXJEFotFoaGhkqT69eure/fu6tWrl4oWLaro6GhJUnx8vGrWrCk3NzcFBgaqX79+unbtms2x3NzcFBAQoICAAFWrVk39+vXT0aNHdebMGWufvn37qnz58ipYsKBKly6tAQMG6OrVq9b1N64MTJw4UaVKlZK7u7sk6ciRI3riiSfk6ekpb29vtWvXTqdOncq03aRJk1SyZEl5enrqtddeU3p6uj788EMFBATI399fw4YNs6n5woULeumll1SsWDF5e3urYcOG2rVrlyRpypQpGjx4sHbt2mW9AnPj/bvTdnc6j9zAnAoAAADkqq+//lphYWGqUKGCnn/+efXq1UuxsbEaOXKkypQpo88//1xbtmyRs7OzdZupU6eqW7du2rBhgyTp2LFjat68uTp16qRp06Zp//796tq1q9zd3TVo0KAsj5uSkqKvvvpKZcuWVZEiRaztXl5emjJlioKCgrRnzx517dpVXl5eeuutt6x9Dh48qLlz52revHlydnZWRkaGNVDEx8fr2rVriomJUfv27bVmzRrrdocOHdIPP/ygJUuW6NChQ3r66af122+/qXz58oqPj9fGjRv14osvKioqSrVq1ZIk/fOf/5SHh4d++OEH+fj4aMKECWrUqJF+/fVXtW/fXj///LOWLFmiFStWSJJ8fHzuup2fn1+W55FbCBUAAADIVXFxcXr++eclXb89KSkpSfHx8apfv768vLzk7OysgIAAm23KlSunDz/80Lrcv39/BQcHa/To0bJYLAoLC9Px48fVt29fvfPOO3Jyun4DzuLFi+Xp6SlJunTpkgIDA7V48WLrekl6++23rf8ODQ3VG2+8oVmzZtmEirS0NE2bNk3FihWTJC1fvlx79uxRYmKigoODJUnTpk1T5cqVtWXLFtWoUUOSlJGRoUmTJsnLy0uVKlVSgwYNlJCQoO+//15OTk6qUKGCPvjgA61evVq1atXS+vXr9dNPP+n06dNyc3OTJH388cdasGCB5syZo5dfflmenp5ycXGxeY+ys11W55FbCBUAAADINQkJCfrpp580f/58SZKLi4vat2+vuLg41a9f/7bbVa9e3WZ53759ioiIkMVisbbVrl1bKSkp+uOPP1SyZElJUoMGDTRu3DhJ0vnz5zV27Fg1a9ZMP/30k0JCQiRJs2fP1qhRo3To0CGlpKTo2rVr8vb2tjleSEiIzQfxffv2KTg42BooJKlSpUry9fXVvn37rKEiNDRUXl5e1j7FixeXs7OzTagpXry4Tp8+LUnatWuXUlJSbK6kSNLly5d16NCh274/2d3u1vPILYQKAAAA5Jq4uDhdu3ZNQUFB1jbDMOTm5qbRo0ffdrtChQrd0/EKFSqksmXLWpcnTpwoHx8fffHFFxo6dKg2bdqkDh06aPDgwYqOjpaPj49mzZqlESNG5MjxCxQoYLNssViybMvIyJB0/RatwMBAm1uobvD19b3tcbK73b2eh70IFQAAAMgV165d07Rp0zRixAg1adLEZl2bNm00c+bMbO+rYsWKmjt3rgzDsF6t2LBhg7y8vFSiRInbbmexWOTk5KTLly9LkjZu3KiQkBD179/f2uf333/P1vGPHj2qo0ePWq9W7N27VxcuXFClSpWyfR63euSRR3Ty5Em5uLhYJ6rfytXVVenp6XZvdz/x9CcAAADkisWLF+v8+fPq0qWLqlSpYvNq27at4uLisr2v1157TUePHlWPHj20f/9+LVy4UAMHDlSfPn1sbi1KTU3VyZMndfLkSe3bt089evRQSkqKWrVqJen6XI0jR45o1qxZOnTokEaNGmW9NetOoqKi9NBDD6lDhw7avn27fvrpJ73wwguqV6+eHn30UfvfnJv2GxERoTZt2mjZsmU6fPiwNm7cqP79+2vr1q2Srt9SlZiYqJ07d+rPP/9Uampqtra7n7hSAQAAkJ/lwrdc55S4uDhFRUVZn1Z0s7Zt2+rDDz+0fti/m3/84x/6/vvv9eabb6pq1ary8/NTly5dbCZdS9e/TC8wMFDS9ac8hYWF6ZtvvrHO32jdurV69+6t7t27KzU1VS1atNCAAQNu+wSpGywWixYuXKgePXqobt26cnJyUtOmTfXf//43W/Xfab/ff/+9+vfvr86dO+vMmTMKCAhQ3bp1Vbx4cUnX36t58+apQYMGunDhgiZPnqxOnTrddbv7yWIYhnHfj3ofJScny8fHR0lJSZkm4AB5SWi/7xxdQq45/H6Lu3cCANzWlStXlJiYmOvfNYAH053GV3Y/S3P7EwAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAABAPnHjC9OAnJQT44pHygIAAORxrq6ucnJy0vHjx1WsWDG5urpavwAOuFeGYSgtLU1nzpyRk5OTXF1d73lfhAoAAIA8zsnJSaVKldKJEyd0/PhxR5eDv5mCBQuqZMmSNl8iaC9CBQAAQD7g6uqqkiVL6tq1a0pPT3d0OfibcHZ2louLi+krX4QKAACAfMJisahAgQIqUKCAo0sBbDh0ova4ceMUHh4ub29veXt7KyIiQj/88IN1ff369WWxWGxer776qgMrBgAAAHArh16pKFGihN5//32VK1dOhmFo6tSpeuKJJ7Rjxw5VrlxZktS1a1cNGTLEuk3BggUdVS4AAACALDg0VLRq1cpmediwYRo3bpw2b95sDRUFCxZUQECAI8oDAAAAkA155nsq0tPTNWvWLF26dEkRERHW9unTp6to0aKqUqWKYmNj9ddff91xP6mpqUpOTrZ5AQAAAMg9Dp+ovWfPHkVEROjKlSvy9PTU/PnzValSJUnSc889p5CQEAUFBWn37t3q27evEhISNG/evNvub/jw4Ro8ePD9Kh8AAAB44FkMwzAcWUBaWpqOHDmipKQkzZkzRxMnTlR8fLw1WNxs1apVatSokQ4ePKgyZcpkub/U1FSlpqZal5OTkxUcHKykpCR5e3vn2nkAZoX2+87RJeSaw++3cHQJAADgHiQnJ8vHx+eun6UdfqXC1dVVZcuWlSRVr15dW7Zs0ciRIzVhwoRMfWvVqiVJdwwVbm5ucnNzy72CAQAAANjIM3MqbsjIyLC50nCznTt3SpICAwPvY0UAAAAA7sShVypiY2PVrFkzlSxZUhcvXtSMGTO0Zs0aLV26VIcOHdKMGTPUvHlzFSlSRLt371bv3r1Vt25dhYeHO7JsAAAAADdxaKg4ffq0XnjhBZ04cUI+Pj4KDw/X0qVL1bhxYx09elQrVqzQZ599pkuXLik4OFht27bV22+/7ciSAQAAANzCoaEiLi7utuuCg4MVHx9/H6sBAAAAcC/y3JwKAAAAAPkLoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIApDn2k7IMktN93ji4h1xx+v4WjSwAAAIADcaUCAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJji4ugC8DcwyMfRFeSOQUmOrgAAACBf4EoFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMcWioGDdunMLDw+Xt7S1vb29FRETohx9+sK6/cuWKYmJiVKRIEXl6eqpt27Y6deqUAysGAAAAcCuHhooSJUro/fff17Zt27R161Y1bNhQTzzxhH755RdJUu/evbVo0SJ98803io+P1/Hjx/XUU085smQAAAAAt3Bx5MFbtWplszxs2DCNGzdOmzdvVokSJRQXF6cZM2aoYcOGkqTJkyerYsWK2rx5sx577DFHlAwAAADgFnlmTkV6erpmzZqlS5cuKSIiQtu2bdPVq1cVFRVl7RMWFqaSJUtq06ZNt91PamqqkpOTbV4AAAAAco/DQ8WePXvk6ekpNzc3vfrqq5o/f74qVaqkkydPytXVVb6+vjb9ixcvrpMnT952f8OHD5ePj4/1FRwcnMtnAAAAADzYHB4qKlSooJ07d+rHH39Ut27d1LFjR+3du/ee9xcbG6ukpCTr6+jRozlYLQAAAIBbOXROhSS5urqqbNmykqTq1atry5YtGjlypNq3b6+0tDRduHDB5mrFqVOnFBAQcNv9ubm5yc3NLbfLBgAAAPA/Dr9ScauMjAylpqaqevXqKlCggFauXGldl5CQoCNHjigiIsKBFQIAAAC4mUOvVMTGxqpZs2YqWbKkLl68qBkzZmjNmjVaunSpfHx81KVLF/Xp00d+fn7y9vZWjx49FBERwZOfAAAAgDzEoaHi9OnTeuGFF3TixAn5+PgoPDxcS5cuVePGjSVJn376qZycnNS2bVulpqYqOjpaY8eOdWTJAAAAAG7h0FARFxd3x/Xu7u4aM2aMxowZc58qAgAAAGCvPDenAgAAAED+QqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmOLQUDF8+HDVqFFDXl5e8vf3V5s2bZSQkGDTp379+rJYLDavV1991UEVAwAAALiVQ0NFfHy8YmJitHnzZi1fvlxXr15VkyZNdOnSJZt+Xbt21YkTJ6yvDz/80EEVAwAAALiViyMPvmTJEpvlKVOmyN/fX9u2bVPdunWt7QULFlRAQMD9Lg8AAABANuSpORVJSUmSJD8/P5v26dOnq2jRoqpSpYpiY2P1119/3XYfqampSk5OtnkBAAAAyD0OvVJxs4yMDPXq1Uu1a9dWlSpVrO3PPfecQkJCFBQUpN27d6tv375KSEjQvHnzstzP8OHDNXjw4PtVNgAAAPDAyzOhIiYmRj///LPWr19v0/7yyy9b//3QQw8pMDBQjRo10qFDh1SmTJlM+4mNjVWfPn2sy8nJyQoODs69wgEAAIAHXJ4IFd27d9fixYu1du1alShR4o59a9WqJUk6ePBglqHCzc1Nbm5uuVInAAAAgMwcGioMw1CPHj00f/58rVmzRqVKlbrrNjt37pQkBQYG5nJ1AAAAALLDoaEiJiZGM2bM0MKFC+Xl5aWTJ09Kknx8fOTh4aFDhw5pxowZat68uYoUKaLdu3erd+/eqlu3rsLDwx1ZOgAAAID/cWioGDdunKTrX3B3s8mTJ6tTp05ydXXVihUr9Nlnn+nSpUsKDg5W27Zt9fbbbzugWgAAAABZcfjtT3cSHBys+Pj4+1QNAAAAgHuRp76nAgAAAED+Q6gAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGCKi6MLAPAAGOTj6Apyx6AkR1cAAECewJUKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKaYChVXrlzJqToAAAAA5FN2h4qMjAy9++67+sc//iFPT0/99ttvkqQBAwYoLi4uxwsEAAAAkLfZHSqGDh2qKVOm6MMPP5Srq6u1vUqVKpo4cWKOFgcAAAAg77M7VEybNk2ff/65OnToIGdnZ2t71apVtX///hwtDgAAAEDeZ3eoOHbsmMqWLZupPSMjQ1evXs2RogAAAADkH3aHikqVKmndunWZ2ufMmaOHH344R4oCAAAAkH+42LvBO++8o44dO+rYsWPKyMjQvHnzlJCQoGnTpmnx4sW5USMAAACAPMzuKxVPPPGEFi1apBUrVqhQoUJ65513tG/fPi1atEiNGzfOjRoBAAAA5GF2X6mQpMjISC1fvjynawEAAACQD/GN2gAAAABMsftKReHChWWxWDK1WywWubu7q2zZsurUqZM6d+6cIwUCAAAAyNvuaaL2sGHD1KxZM9WsWVOS9NNPP2nJkiWKiYlRYmKiunXrpmvXrqlr1645XjAAAACAvMXuULF+/XoNHTpUr776qk37hAkTtGzZMs2dO1fh4eEaNWoUoQIAAAB4ANg9p2Lp0qWKiorK1N6oUSMtXbpUktS8eXP99ttv5qsDAAAAkOfZHSr8/Py0aNGiTO2LFi2Sn5+fJOnSpUvy8vIyXx0AAACAPM/u258GDBigbt26afXq1dY5FVu2bNH333+v8ePHS5KWL1+uevXq5WylAAAAAPIku0NF165dValSJY0ePVrz5s2TJFWoUEHx8fF6/PHHJUmvv/56zlYJAAAAIM+6py+/q127tmrXrp3TtQAAAADIh+4pVNxw5coVpaWl2bR5e3ubKggAAABA/mL3RO2//vpL3bt3l7+/vwoVKqTChQvbvAAAAAA8WOwOFW+++aZWrVqlcePGyc3NTRMnTtTgwYMVFBSkadOm5UaNAAAAAPIwu29/WrRokaZNm6b69eurc+fOioyMVNmyZRUSEqLp06erQ4cOuVEnAAAAgDzK7isV586dU+nSpSVdnz9x7tw5SVKdOnW0du3anK0OAAAAQJ5nd6goXbq0EhMTJUlhYWH6+uuvJV2/guHr65ujxQEAAADI++wOFZ07d9auXbskSf369dOYMWPk7u6u3r17680338zxAgEAAADkbXbPqejdu7f131FRUdq/f7+2bdumsmXLKjw8PEeLAwAAAJD32X2lYtq0aUpNTbUuh4SE6KmnnlJYWBhPfwIAAAAeQPd0+1NSUlKm9osXL6pz5845UhQAAACA/MPuUGEYhiwWS6b2P/74Qz4+PjlSFAAAAID8I9tzKh5++GFZLBZZLBY1atRILi7/v2l6eroSExPVtGnTXCkSAAAAQN6V7VDRpk0bSdLOnTsVHR0tT09P6zpXV1eFhoaqbdu2OV4gAAAAgLwt26Fi4MCBkqTQ0FC1b99e7u7uuVYUAAAAgPzD7kfKduzYUZKUlpam06dPKyMjw2Z9yZIlc6YyAAAAAPmC3aHiwIEDevHFF7Vx40ab9hsTuNPT03OsOAAAAAB5n92holOnTnJxcdHixYsVGBiY5ZOgAAAAADw47A4VO3fu1LZt2xQWFpYb9QAAAADIZ+z+nopKlSrpzz//zI1aAAAAAORDdoeKDz74QG+99ZbWrFmjs2fPKjk52eYFAAAA4MFi9+1PUVFRkqRGjRrZtDNRGwAAAHgw2R0qVq9enRt1AAAAAMin7A4V9erVy406AAAAAORTds+pkKR169bp+eef1+OPP65jx45Jkr788kutX78+R4sDAAAAkPfZHSrmzp2r6OhoeXh4aPv27UpNTZUkJSUl6b333svxAgEAAADkbXaHiqFDh2r8+PH64osvVKBAAWt77dq1tX379hwtDgAAAEDeZ3eoSEhIUN26dTO1+/j46MKFCzlREwAAAIB8xO5QERAQoIMHD2ZqX79+vUqXLp0jRQEAAADIP+wOFV27dlXPnj31448/ymKx6Pjx45o+fbreeOMNdevWza59DR8+XDVq1JCXl5f8/f3Vpk0bJSQk2PS5cuWKYmJiVKRIEXl6eqpt27Y6deqUvWUDAAAAyCV2h4p+/frpueeeU6NGjZSSkqK6devqpZde0iuvvKIePXrYta/4+HjFxMRo8+bNWr58ua5evaomTZro0qVL1j69e/fWokWL9M033yg+Pl7Hjx/XU089ZW/ZAAAAAHKJxTAM4142TEtL08GDB5WSkqJKlSrJ09PTdDFnzpyRv7+/4uPjVbduXSUlJalYsWKaMWOGnn76aUnS/v37VbFiRW3atEmPPfZYpn2kpqZan0glScnJyQoODlZSUpK8vb1N13ivQvt957Bj57bD7s85uoTcMSjpvh6OMZIP3ecxAgDA/ZacnCwfH5+7fpa2+0pFUlKSzp07J1dXV1WqVEk1a9aUp6enzp07p+TkZFNFJyVd/x+0n5+fJGnbtm26evWqoqKirH3CwsJUsmRJbdq0Kct9DB8+XD4+PtZXcHCwqZoAAAAA3JndoeKZZ57RrFmzMrV//fXXeuaZZ+65kIyMDPXq1Uu1a9dWlSpVJEknT56Uq6urfH19bfoWL15cJ0+ezHI/sbGxSkpKsr6OHj16zzUBAAAAuDu7Q8WPP/6oBg0aZGqvX7++fvzxx3suJCYmRj///HOWgcUebm5u8vb2tnkBAAAAyD12h4rU1FRdu3YtU/vVq1d1+fLleyqie/fuWrx4sVavXq0SJUpY2wMCApSWlpbp+y9OnTqlgICAezoWAAAAgJxld6ioWbOmPv/880zt48ePV/Xq1e3al2EY6t69u+bPn69Vq1apVKlSNuurV6+uAgUKaOXKlda2hIQEHTlyRBEREfaWDgAAACAXuNi7wdChQxUVFaVdu3apUaNGkqSVK1dqy5YtWrZsmV37iomJ0YwZM7Rw4UJ5eXlZ50n4+PjIw8NDPj4+6tKli/r06SM/Pz95e3urR48eioiIyPLJTwAAAADuP7tDRe3atbV582Z9+OGH+vrrr+Xh4aHw8HDFxcWpXLlydu1r3Lhxkq7Px7jZ5MmT1alTJ0nSp59+KicnJ7Vt21apqamKjo7W2LFj7S0bAJBXDfJxdAW5h8cOA3hA2BUqrl69qldeeUUDBgzQ9OnTTR88O1+R4e7urjFjxmjMmDGmjwcAAAAg59k1p6JAgQKaO3dubtUCAAAAIB+ye6J2mzZttGDBglwoBQAAAEB+ZPecinLlymnIkCHasGGDqlevrkKFCtms//e//51jxQEAAADI++wOFXFxcfL19dW2bdu0bds2m3UWi4VQAQAAADxg7A4ViYmJuVEHAAAAgHzK7jkVN6SlpSkhISHLb9cGAAAA8OCwO1T89ddf6tKliwoWLKjKlSvryJEjkqQePXro/fffz/ECAQAAAORtdt/+FBsbq127dmnNmjVq2rSptT0qKkqDBg1Sv379crRAAMB1of2+c3QJueKwu6MrAACYZXeoWLBggWbPnq3HHntMFovF2l65cmUdOnQoR4sDAAAAkPfZffvTmTNn5O/vn6n90qVLNiEDAAAAwIPB7lDx6KOP6rvv/v8S/I0gMXHiREVERORcZQAAAADyBbtvf3rvvffUrFkz7d27V9euXdPIkSO1d+9ebdy4UfHx8blRIwAAAIA8zO4rFXXq1NGuXbt07do1PfTQQ1q2bJn8/f21adMmVa9ePTdqBAAAAJCH2XWlIjk5WT/++KPS0tL03nvvqVixYrlVFwAAAIB8ItuhYufOnWrevLlOnTolwzDk5eWlr7/+WtHR0blZHwAAAIA8Ltu3P/Xt21elSpXS+vXrtW3bNjVq1Ejdu3fPzdoAAAAA5APZvlKxbds2LVu2TI888ogkadKkSfLz81NycrK8vb1zrUAAAAAAeVu2r1ScO3dOJUqUsC77+vqqUKFCOnv2bK4UBgAAACB/sGui9t69e3Xy5EnrsmEY2rdvny5evGhtCw8Pz7nqAAAAAOR5doWKRo0ayTAMm7aWLVvKYrHIMAxZLBalp6fnaIEAAAAA8rZsh4rExMTcrAMAAABAPpXtUBESEpKbdQAAAADIp+z+Rm0AAAAAuBmhAgAAAIAphAoAAAAAphAqAAAAAJhyT6Hi2rVrWrFihSZMmGD9jorjx48rJSUlR4sDAAAAkPfZ9T0VkvT777+radOmOnLkiFJTU9W4cWN5eXnpgw8+UGpqqsaPH58bdQIAAADIo+y+UtGzZ089+uijOn/+vDw8PKztTz75pFauXJmjxQEAAADI++y+UrFu3Tpt3LhRrq6uNu2hoaE6duxYjhUGAAAAIH+w+0pFRkaG0tPTM7X/8ccf8vLyypGiAAAAAOQfdoeKJk2a6LPPPrMuWywWpaSkaODAgWrevHlO1gYAAAAgH7D79qcRI0YoOjpalSpV0pUrV/Tcc8/pwIEDKlq0qGbOnJkbNQIAAADIw+wOFSVKlNCuXbs0a9Ys7d69WykpKerSpYs6dOhgM3EbAAAAwIPB7lAhSS4uLnr++edzuhYAAAAA+VC2QsW3336b7R22bt36nosBAAAAkP9kK1S0adMmWzuzWCxZPhkKAAAAwN9XtkJFRkZGbtcBAAAAIJ+y+5GyAAAAAHCzewoVK1euVMuWLVWmTBmVKVNGLVu21IoVK3K6NgAAAAD5gN2hYuzYsWratKm8vLzUs2dP9ezZU97e3mrevLnGjBmTGzUCAAAAyMPsfqTse++9p08//VTdu3e3tv373/9W7dq19d577ykmJiZHCwQAAACQt9l9peLChQtq2rRppvYmTZooKSkpR4oCAAAAkH/YHSpat26t+fPnZ2pfuHChWrZsmSNFAQAAAMg/7L79qVKlSho2bJjWrFmjiIgISdLmzZu1YcMGvf766xo1apS177///e+cqxQAAABAnmR3qIiLi1PhwoW1d+9e7d2719ru6+uruLg467LFYiFUAAAAAA8Au0NFYmJibtQBAAAAIJ/iy+8AAAAAmGL3lQrDMDRnzhytXr1ap0+fVkZGhs36efPm5VhxAAAAAPI+u0NFr169NGHCBDVo0EDFixeXxWLJjboAAAAA5BN2h4ovv/xS8+bNU/PmzXOjHgAAAAD5jN1zKnx8fFS6dOncqAUAAABAPmR3qBg0aJAGDx6sy5cv50Y9AAAAAPIZu29/ateunWbOnCl/f3+FhoaqQIECNuu3b9+eY8UBAAAAyPvsDhUdO3bUtm3b9PzzzzNRGwAAAID9oeK7777T0qVLVadOndyoBwAAAEA+Y/eciuDgYHl7e+dGLQAAAADyIbtDxYgRI/TWW2/p8OHDuVAOAAAAgPzG7tufnn/+ef31118qU6aMChYsmGmi9rlz53KsOAAAAAB5n92h4rPPPsuFMgAAAADkV/f09CcAAAAAuMHuUHGzK1euKC0tzaaNSdwAAADAg8XuidqXLl1S9+7d5e/vr0KFCqlw4cI2LwAAAAAPFrtDxVtvvaVVq1Zp3LhxcnNz08SJEzV48GAFBQVp2rRpuVEjAAAAgDzM7tufFi1apGnTpql+/frq3LmzIiMjVbZsWYWEhGj69Onq0KFDbtQJAAAAII+y+0rFuXPnVLp0aUnX50/ceIRsnTp1tHbt2pytDgAAAECeZ3eoKF26tBITEyVJYWFh+vrrryVdv4Lh6+ubo8UBAAAAyPvsDhWdO3fWrl27JEn9+vXTmDFj5O7urt69e+vNN9/M8QIBAAAA5G12z6no3bu39d9RUVHat2+ftm/frrJlyyo8PDxHiwMAAACQ95n6ngpJCg0NVWhoaA6UAgAAACA/yvbtT5s2bdLixYtt2qZNm6ZSpUrJ399fL7/8slJTU3O8QAAAAAB5W7ZDxZAhQ/TLL79Yl/fs2aMuXbooKipK/fr106JFizR8+PBcKRIAAABA3pXtULFz5041atTIujxr1izVqlVLX3zxhfr06aNRo0ZZnwQFAAAA4MGR7VBx/vx5FS9e3LocHx+vZs2aWZdr1Kiho0eP5mx1AAAAAPK8bIeK4sWLW7+fIi0tTdu3b9djjz1mXX/x4kUVKFAg5ysEAAAAkKdlO1Q0b95c/fr107p16xQbG6uCBQsqMjLSun737t0qU6ZMrhQJAAAAIO/K9iNl3333XT311FOqV6+ePD09NXXqVLm6ulrXT5o0SU2aNMmVIgEAAADkXdkOFUWLFtXatWuVlJQkT09POTs726z/5ptv5OnpmeMFAgAAAMjb7P7yOx8fnyzb/fz8TBcDAAAAIP/J9pwKAAAAAMgKoQIAAACAKQ4NFWvXrlWrVq0UFBQki8WiBQsW2Kzv1KmTLBaLzatp06aOKRYAAABAlhwaKi5duqSqVatqzJgxt+3TtGlTnThxwvqaOXPmfawQAAAAwN3YPVE7JzVr1szmW7mz4ubmpoCAgGzvMzU1Vampqdbl5OTke64PAAAAwN3l+TkVa9askb+/vypUqKBu3brp7Nmzd+w/fPhw+fj4WF/BwcH3qVIAAADgwZSnQ0XTpk01bdo0rVy5Uh988IHi4+PVrFkzpaen33ab2NhYJSUlWV9Hjx69jxUDAAAADx6H3v50N88884z13w899JDCw8NVpkwZrVmzRo0aNcpyGzc3N7m5ud2vEgEAAIAHXp6+UnGr0qVLq2jRojp48KCjSwEAAADwP/kqVPzxxx86e/asAgMDHV0KAAAAgP9x6O1PKSkpNlcdEhMTtXPnTvn5+cnPz0+DBw9W27ZtFRAQoEOHDumtt95S2bJlFR0d7cCqAQAAANzMoaFi69atatCggXW5T58+kqSOHTtq3Lhx2r17t6ZOnaoLFy4oKChITZo00bvvvsucCQAAACAPcWioqF+/vgzDuO36pUuX3sdqAAAAANyLfDWnAgAAAEDeQ6gAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKYQKgAAAACYQqgAAAAAYAqhAgAAAIAphAoAAAAAphAqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKS6OLgAAAOCOBvk4uoLcMyjJ0RUAOYIrFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATHFoqFi7dq1atWqloKAgWSwWLViwwGa9YRh65513FBgYKA8PD0VFRenAgQOOKRYAAABAlhwaKi5duqSqVatqzJgxWa7/8MMPNWrUKI0fP14//vijChUqpOjoaF25cuU+VwoAAADgdlwcefBmzZqpWbNmWa4zDEOfffaZ3n77bT3xxBOSpGnTpql48eJasGCBnnnmmSy3S01NVWpqqnU5OTk55wsHAAAAYJVn51QkJibq5MmTioqKsrb5+PioVq1a2rRp0223Gz58uHx8fKyv4ODg+1EuAAAA8MDKs6Hi5MmTkqTixYvbtBcvXty6LiuxsbFKSkqyvo4ePZqrdQIAAAAPOofe/pQb3Nzc5Obm5ugyAAAAgAdGnr1SERAQIEk6deqUTfupU6es6wAAAAA4Xp4NFaVKlVJAQIBWrlxpbUtOTtaPP/6oiIgIB1YGAAAA4GYOvf0pJSVFBw8etC4nJiZq586d8vPzU8mSJdWrVy8NHTpU5cqVU6lSpTRgwAAFBQWpTZs2jisaAAAAgA2HhoqtW7eqQYMG1uU+ffpIkjp27KgpU6borbfe0qVLl/Tyyy/rwoULqlOnjpYsWSJ3d3dHlQwAAADgFg4NFfXr15dhGLddb7FYNGTIEA0ZMuQ+VgUAAADAHnl2TgUAAACA/IFQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBRCBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUQgUAAAAAUwgVAAAAAEwhVAAAAAAwhVABAAAAwBQXRxcAAAAAmDLIx9EV5J5BSY6uIFu4UgEAAADAFEIFAAAAAFMIFQAAAABMIVQAAAAAMIVQAQAAAMAUnv4EAMDfRGi/7xxdQq447O7oCgDcDVcqAAAAAJhCqAAAAABgCqECAAAAgCmECgAAAACmECoAAAAAmEKoAAAAAGAKoQIAAACAKYQKAAAAAKbk6VAxaNAgWSwWm1dYWJijywIAAABwkzz/jdqVK1fWihUrrMsuLnm+ZAAAAOCBkuc/obu4uCggIMDRZQAAAAC4jTx9+5MkHThwQEFBQSpdurQ6dOigI0eO3LF/amqqkpOTbV4AAAAAck+eDhW1atXSlClTtGTJEo0bN06JiYmKjIzUxYsXb7vN8OHD5ePjY30FBwffx4oBAACAB0+eDhXNmjXTP//5T4WHhys6Olrff/+9Lly4oK+//vq228TGxiopKcn6Onr06H2sGAAAAHjw5Pk5FTfz9fVV+fLldfDgwdv2cXNzk5ub232sCgAAAHiw5ekrFbdKSUnRoUOHFBgY6OhSAAAAAPxPng4Vb7zxhuLj43X48GFt3LhRTz75pJydnfXss886ujQAAAAA/5Onb3/6448/9Oyzz+rs2bMqVqyY6tSpo82bN6tYsWKOLg0AAADA/+TpUDFr1ixHlwAAAADgLvL07U8AAAAA8j5CBQAAAABTCBUAAAAATCFUAAAAADCFUAEAAAD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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Malawi Education Comparison"
      ],
      "metadata": {
        "id": "HT8qKZLY7xDL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_m['educ'].value_counts()/len(df_m)*100"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C0m9SVy071hv",
        "outputId": "1ad01b07-429c-4743-c0d7-24571d2ef0e7"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "educ\n",
              "University completed                               50.000000\n",
              "Some university                                    28.571429\n",
              "Secondary school completed                         10.714286\n",
              "Post-secondary training but not at a university     9.285714\n",
              "Some secondary school                               1.428571\n",
              "Name: count, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#re-writing the age distribution from my data as a dictionary for each plotting\n",
        "mw_ed1 = {\n",
        "  'No formal schooling': 0,\n",
        "  'Some primary schooling':0,\n",
        "  'Primary school completed':0,\n",
        "  'Some secondary school': 1.43,\n",
        "  'Secondary school completed': 10.71,\n",
        "  'Post-secondary training (not university)': 9.29,\n",
        "  'Some university': 28.57,\n",
        "  'University completed': 50}"
      ],
      "metadata": {
        "id": "yBZcY7Ns8h94"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Afrobarometer stats\n",
        "mw_ed2 = {\n",
        "  'No formal schooling': 7.1,\n",
        "  'Some primary schooling':47.9,\n",
        "  'Primary school completed':11.6,\n",
        "  'Some secondary school': 16,\n",
        "  'Secondary school completed': 13.2,\n",
        "  'Post-secondary training (not university)': 2.9,\n",
        "  'Some university': 0.6,\n",
        "  'University completed': 0.7}"
      ],
      "metadata": {
        "id": "CH3Bm04c9FoK"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.rcParams[\"figure.figsize\"] = [8, 8]\n",
        "plt.rcParams[\"figure.autolayout\"] = True\n",
        "\n",
        "X = list(mw_ed1.keys())\n",
        "X_axis = np.arange(len(mw_ed1.keys()))\n",
        "plt.bar(X_axis - 0.2, mw_ed1.values(), 0.4, label = 'Qualtics')\n",
        "plt.bar(X_axis + 0.2, mw_ed2.values(), 0.4, label = 'AfroBarometer')\n",
        "\n",
        "plt.xticks(X_axis, X)\n",
        "plt.xlabel(\"Education Levels\")\n",
        "plt.ylabel(\"Sample Percentage\")\n",
        "plt.title(\"Malawi Education Comparison\")\n",
        "plt.xticks(rotation= 'vertical')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 824
        },
        "id": "Puyyxn11BV6N",
        "outputId": "672ce269-7adc-4563-ee06-12b3c301e74d"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x79aa839d7280>"
            ]
          },
          "metadata": {},
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Malawi Party Comparison"
      ],
      "metadata": {
        "id": "16Yz12LRClB5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_m['party'].value_counts()/len(df_m)*100. #summary from my own data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7cEHm3vYCoN3",
        "outputId": "1c5d0999-21d5-456b-9a7c-94c85d15a31b"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "party\n",
              "Not close to any of the above           41.428571\n",
              "United Transformation Movement (UTM)    23.571429\n",
              "Malawi Congress Party (MCP)             16.428571\n",
              "Democratic Progressive Party (DPP)      12.857143\n",
              "Other                                    3.571429\n",
              "United Democratic Front (UDF)            2.142857\n",
              "Name: count, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#plotting dictionary using summary from my data\n",
        "mw_party1 = {\n",
        " 'Not close to any': 41.4,\n",
        " 'UTM': 23.6,\n",
        " 'MCP': 16.4,\n",
        " 'DPP': 12.9,\n",
        " 'Other': 3.6,\n",
        " 'UDF': 2.1}\n",
        "\n",
        "#AfroBarometer stats\n",
        "mw_party2 = {\n",
        " 'Not close to any': 39.8,\n",
        " 'UTM': 5.4,\n",
        " 'MCP': 22.2,\n",
        " 'DPP': 28.1,\n",
        " 'Other': 0.3,\n",
        " 'UDF': 3.7}"
      ],
      "metadata": {
        "id": "764xfSz4GFkU"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X = list(mw_party1.keys())\n",
        "X_axis = np.arange(len(mw_party1.keys()))\n",
        "plt.bar(X_axis - 0.2, mw_party1.values(), 0.4, label = 'Qualtics')\n",
        "plt.bar(X_axis + 0.2, mw_party2.values(), 0.4, label = 'AfroBarometer')\n",
        "\n",
        "plt.xticks(X_axis, X)\n",
        "plt.xlabel(\"Party Affiliation\")\n",
        "plt.ylabel(\"Sample Percentages\")\n",
        "plt.title(\"Malawi Party Comparison\")\n",
        "plt.xticks(rotation= 'vertical')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 823
        },
        "id": "DZy0D26OJwdn",
        "outputId": "2eb4e7fb-46c9-4beb-bc0d-089a035630b8"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x79aa83b06ef0>"
            ]
          },
          "metadata": {},
          "execution_count": 43
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "End."
      ],
      "metadata": {
        "id": "gORheV32KDHE"
      }
    }
  ]
}